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Subscribe for $2 Kyrgyzstan Wages
Price
The current value of the Wages in Kyrgyzstan is 35,104 KGS/Month. The Wages in Kyrgyzstan increased to 35,104 KGS/Month on 3/1/2024, after it was 33,361 KGS/Month on 2/1/2024. From 1/1/1999 to 4/1/2024, the average GDP in Kyrgyzstan was 11,081.86 KGS/Month. The all-time high was reached on 12/1/2023 with 44,947 KGS/Month, while the lowest value was recorded on 1/1/1999 with 799.8 KGS/Month.
Wages ·
3 years
5 years
10 years
25 Years
Max
Wages | |
---|---|
1/1/1999 | 799.8 KGS/Month |
2/1/1999 | 832.5 KGS/Month |
3/1/1999 | 896.2 KGS/Month |
4/1/1999 | 870.1 KGS/Month |
5/1/1999 | 901.6 KGS/Month |
6/1/1999 | 982.5 KGS/Month |
7/1/1999 | 999 KGS/Month |
8/1/1999 | 993 KGS/Month |
9/1/1999 | 1,015 KGS/Month |
10/1/1999 | 997.8 KGS/Month |
11/1/1999 | 1,038.4 KGS/Month |
12/1/1999 | 1,305.1 KGS/Month |
1/1/2000 | 977.6 KGS/Month |
2/1/2000 | 1,015.1 KGS/Month |
3/1/2000 | 1,062.8 KGS/Month |
4/1/2000 | 1,036.1 KGS/Month |
5/1/2000 | 1,070.6 KGS/Month |
6/1/2000 | 1,148.2 KGS/Month |
7/1/2000 | 1,198.8 KGS/Month |
8/1/2000 | 1,169.9 KGS/Month |
9/1/2000 | 1,225.8 KGS/Month |
10/1/2000 | 1,275.8 KGS/Month |
11/1/2000 | 1,286.1 KGS/Month |
12/1/2000 | 1,692.8 KGS/Month |
1/1/2001 | 1,202.5 KGS/Month |
2/1/2001 | 1,233.7 KGS/Month |
3/1/2001 | 1,367 KGS/Month |
4/1/2001 | 1,295.1 KGS/Month |
5/1/2001 | 1,350.5 KGS/Month |
6/1/2001 | 1,408.3 KGS/Month |
7/1/2001 | 1,431.1 KGS/Month |
8/1/2001 | 1,418.9 KGS/Month |
9/1/2001 | 1,389.6 KGS/Month |
10/1/2001 | 1,395.1 KGS/Month |
11/1/2001 | 1,420.4 KGS/Month |
12/1/2001 | 1,818.1 KGS/Month |
2/1/2002 | 1,423.27 KGS/Month |
5/1/2002 | 1,574.45 KGS/Month |
8/1/2002 | 1,623.08 KGS/Month |
11/1/2002 | 1,841.67 KGS/Month |
2/1/2003 | 1,683.1 KGS/Month |
5/1/2003 | 1,886.9 KGS/Month |
8/1/2003 | 1,952.2 KGS/Month |
11/1/2003 | 2,103.6 KGS/Month |
1/1/2004 | 1,871.6 KGS/Month |
2/1/2004 | 1,947.5 KGS/Month |
3/1/2004 | 2,067.1 KGS/Month |
4/1/2004 | 2,049.7 KGS/Month |
5/1/2004 | 2,071.8 KGS/Month |
6/1/2004 | 2,306.6 KGS/Month |
7/1/2004 | 2,248.7 KGS/Month |
8/1/2004 | 2,101.5 KGS/Month |
9/1/2004 | 2,255.1 KGS/Month |
10/1/2004 | 2,211.4 KGS/Month |
11/1/2004 | 2,261.2 KGS/Month |
12/1/2004 | 3,034.8 KGS/Month |
1/1/2005 | 2,158.9 KGS/Month |
2/1/2005 | 2,207.7 KGS/Month |
3/1/2005 | 2,460.1 KGS/Month |
4/1/2005 | 2,358.4 KGS/Month |
5/1/2005 | 2,442.4 KGS/Month |
6/1/2005 | 2,596.5 KGS/Month |
7/1/2005 | 2,573.2 KGS/Month |
8/1/2005 | 2,556.3 KGS/Month |
9/1/2005 | 2,636 KGS/Month |
10/1/2005 | 2,620.2 KGS/Month |
11/1/2005 | 2,647.5 KGS/Month |
12/1/2005 | 3,526.7 KGS/Month |
1/1/2006 | 2,557 KGS/Month |
2/1/2006 | 2,549.8 KGS/Month |
3/1/2006 | 2,868.7 KGS/Month |
4/1/2006 | 2,818.4 KGS/Month |
5/1/2006 | 2,807.9 KGS/Month |
6/1/2006 | 3,107.3 KGS/Month |
7/1/2006 | 3,059.5 KGS/Month |
8/1/2006 | 2,986.4 KGS/Month |
9/1/2006 | 3,145 KGS/Month |
10/1/2006 | 3,207.7 KGS/Month |
11/1/2006 | 3,130 KGS/Month |
12/1/2006 | 4,403.7 KGS/Month |
1/1/2007 | 3,145.4 KGS/Month |
2/1/2007 | 3,397.4 KGS/Month |
3/1/2007 | 3,795.8 KGS/Month |
4/1/2007 | 3,683.7 KGS/Month |
5/1/2007 | 3,768.7 KGS/Month |
6/1/2007 | 4,260.2 KGS/Month |
7/1/2007 | 4,025.7 KGS/Month |
8/1/2007 | 3,877.8 KGS/Month |
9/1/2007 | 3,970.2 KGS/Month |
10/1/2007 | 4,144.6 KGS/Month |
11/1/2007 | 4,109.9 KGS/Month |
12/1/2007 | 5,657 KGS/Month |
1/1/2008 | 4,335.4 KGS/Month |
2/1/2008 | 4,471 KGS/Month |
3/1/2008 | 5,169 KGS/Month |
4/1/2008 | 5,085.8 KGS/Month |
5/1/2008 | 5,145.5 KGS/Month |
6/1/2008 | 5,631.8 KGS/Month |
7/1/2008 | 5,621 KGS/Month |
8/1/2008 | 5,268 KGS/Month |
9/1/2008 | 5,485 KGS/Month |
10/1/2008 | 5,660 KGS/Month |
11/1/2008 | 5,507 KGS/Month |
12/1/2008 | 7,678 KGS/Month |
1/1/2009 | 5,351 KGS/Month |
2/1/2009 | 5,493 KGS/Month |
3/1/2009 | 5,875 KGS/Month |
4/1/2009 | 5,886 KGS/Month |
5/1/2009 | 6,142 KGS/Month |
6/1/2009 | 6,481 KGS/Month |
7/1/2009 | 6,406 KGS/Month |
8/1/2009 | 6,207 KGS/Month |
9/1/2009 | 6,197 KGS/Month |
10/1/2009 | 6,287 KGS/Month |
11/1/2009 | 6,166 KGS/Month |
12/1/2009 | 8,475 KGS/Month |
1/1/2010 | 5,996 KGS/Month |
2/1/2010 | 6,173 KGS/Month |
3/1/2010 | 6,794 KGS/Month |
4/1/2010 | 6,718 KGS/Month |
5/1/2010 | 6,743 KGS/Month |
6/1/2010 | 7,265 KGS/Month |
7/1/2010 | 7,337 KGS/Month |
8/1/2010 | 6,913 KGS/Month |
9/1/2010 | 7,190 KGS/Month |
10/1/2010 | 7,170 KGS/Month |
11/1/2010 | 7,249 KGS/Month |
12/1/2010 | 10,096.2 KGS/Month |
1/1/2011 | 7,093.2 KGS/Month |
2/1/2011 | 7,240.8 KGS/Month |
3/1/2011 | 7,708.7 KGS/Month |
4/1/2011 | 7,797.2 KGS/Month |
5/1/2011 | 9,233.5 KGS/Month |
6/1/2011 | 9,804.1 KGS/Month |
7/1/2011 | 9,602 KGS/Month |
8/1/2011 | 9,412.7 KGS/Month |
9/1/2011 | 9,728.3 KGS/Month |
10/1/2011 | 10,107.8 KGS/Month |
11/1/2011 | 10,058.2 KGS/Month |
12/1/2011 | 14,040.9 KGS/Month |
1/1/2012 | 9,707.8 KGS/Month |
2/1/2012 | 9,845.3 KGS/Month |
3/1/2012 | 10,820.4 KGS/Month |
4/1/2012 | 10,269.4 KGS/Month |
5/1/2012 | 10,790 KGS/Month |
6/1/2012 | 11,374 KGS/Month |
7/1/2012 | 10,893 KGS/Month |
8/1/2012 | 10,465.9 KGS/Month |
9/1/2012 | 10,690 KGS/Month |
10/1/2012 | 10,751 KGS/Month |
11/1/2012 | 10,589.6 KGS/Month |
12/1/2012 | 14,410.2 KGS/Month |
1/1/2013 | 10,249 KGS/Month |
2/1/2013 | 10,380.2 KGS/Month |
3/1/2013 | 11,219.2 KGS/Month |
4/1/2013 | 11,032.4 KGS/Month |
5/1/2013 | 11,250 KGS/Month |
6/1/2013 | 11,774 KGS/Month |
7/1/2013 | 11,557 KGS/Month |
8/1/2013 | 11,043 KGS/Month |
9/1/2013 | 10,959 KGS/Month |
10/1/2013 | 11,374 KGS/Month |
11/1/2013 | 11,147 KGS/Month |
12/1/2013 | 15,129 KGS/Month |
1/1/2014 | 11,008 KGS/Month |
2/1/2014 | 10,984 KGS/Month |
3/1/2014 | 12,173 KGS/Month |
4/1/2014 | 11,959 KGS/Month |
5/1/2014 | 12,193 KGS/Month |
6/1/2014 | 12,727 KGS/Month |
7/1/2014 | 12,422 KGS/Month |
8/1/2014 | 12,236 KGS/Month |
9/1/2014 | 12,131 KGS/Month |
10/1/2014 | 12,425 KGS/Month |
11/1/2014 | 13,367 KGS/Month |
12/1/2014 | 16,638 KGS/Month |
1/1/2015 | 11,689 KGS/Month |
2/1/2015 | 11,703 KGS/Month |
3/1/2015 | 12,810 KGS/Month |
4/1/2015 | 12,420 KGS/Month |
5/1/2015 | 12,596 KGS/Month |
6/1/2015 | 13,664 KGS/Month |
7/1/2015 | 13,347 KGS/Month |
8/1/2015 | 12,697 KGS/Month |
9/1/2015 | 13,525 KGS/Month |
10/1/2015 | 13,412 KGS/Month |
11/1/2015 | 13,421 KGS/Month |
12/1/2015 | 17,928 KGS/Month |
1/1/2016 | 13,190 KGS/Month |
2/1/2016 | 13,153 KGS/Month |
3/1/2016 | 14,277 KGS/Month |
4/1/2016 | 13,721 KGS/Month |
5/1/2016 | 13,889 KGS/Month |
6/1/2016 | 15,424 KGS/Month |
7/1/2016 | 14,365 KGS/Month |
8/1/2016 | 13,931 KGS/Month |
9/1/2016 | 14,170 KGS/Month |
10/1/2016 | 14,112 KGS/Month |
11/1/2016 | 13,939 KGS/Month |
12/1/2016 | 19,578 KGS/Month |
1/1/2017 | 13,768 KGS/Month |
2/1/2017 | 13,585 KGS/Month |
3/1/2017 | 15,240 KGS/Month |
4/1/2017 | 14,166 KGS/Month |
5/1/2017 | 14,911 KGS/Month |
6/1/2017 | 16,441 KGS/Month |
7/1/2017 | 15,304 KGS/Month |
8/1/2017 | 14,972 KGS/Month |
9/1/2017 | 14,912 KGS/Month |
10/1/2017 | 15,349 KGS/Month |
11/1/2017 | 14,917 KGS/Month |
12/1/2017 | 20,954 KGS/Month |
1/1/2018 | 14,629 KGS/Month |
2/1/2018 | 14,494 KGS/Month |
3/1/2018 | 16,220 KGS/Month |
4/1/2018 | 15,565 KGS/Month |
5/1/2018 | 16,059 KGS/Month |
6/1/2018 | 17,003 KGS/Month |
7/1/2018 | 16,375 KGS/Month |
8/1/2018 | 15,994 KGS/Month |
9/1/2018 | 15,427 KGS/Month |
10/1/2018 | 16,022 KGS/Month |
11/1/2018 | 15,434 KGS/Month |
12/1/2018 | 21,339 KGS/Month |
1/1/2019 | 15,327 KGS/Month |
2/1/2019 | 15,125 KGS/Month |
3/1/2019 | 16,683 KGS/Month |
4/1/2019 | 16,346 KGS/Month |
5/1/2019 | 16,612 KGS/Month |
6/1/2019 | 17,618 KGS/Month |
7/1/2019 | 17,445 KGS/Month |
8/1/2019 | 16,476 KGS/Month |
9/1/2019 | 16,092 KGS/Month |
10/1/2019 | 17,910 KGS/Month |
11/1/2019 | 16,809 KGS/Month |
12/1/2019 | 23,420 KGS/Month |
1/1/2020 | 17,172 KGS/Month |
2/1/2020 | 17,175 KGS/Month |
3/1/2020 | 18,946 KGS/Month |
4/1/2020 | 17,529 KGS/Month |
5/1/2020 | 17,799 KGS/Month |
6/1/2020 | 19,372 KGS/Month |
7/1/2020 | 18,102 KGS/Month |
8/1/2020 | 17,443 KGS/Month |
9/1/2020 | 17,907 KGS/Month |
10/1/2020 | 18,558 KGS/Month |
11/1/2020 | 17,653 KGS/Month |
12/1/2020 | 24,204 KGS/Month |
1/1/2021 | 17,966 KGS/Month |
2/1/2021 | 17,915 KGS/Month |
3/1/2021 | 20,715 KGS/Month |
4/1/2021 | 19,201 KGS/Month |
5/1/2021 | 19,996 KGS/Month |
6/1/2021 | 20,556 KGS/Month |
7/1/2021 | 20,475 KGS/Month |
8/1/2021 | 19,868 KGS/Month |
9/1/2021 | 20,027 KGS/Month |
10/1/2021 | 19,893 KGS/Month |
11/1/2021 | 19,668 KGS/Month |
12/1/2021 | 26,543 KGS/Month |
1/1/2022 | 20,129 KGS/Month |
2/1/2022 | 20,198 KGS/Month |
3/1/2022 | 22,472 KGS/Month |
4/1/2022 | 25,358 KGS/Month |
5/1/2022 | 26,290 KGS/Month |
6/1/2022 | 29,037 KGS/Month |
7/1/2022 | 27,153 KGS/Month |
8/1/2022 | 26,161 KGS/Month |
9/1/2022 | 28,427 KGS/Month |
10/1/2022 | 28,580 KGS/Month |
11/1/2022 | 28,826 KGS/Month |
12/1/2022 | 36,351 KGS/Month |
1/1/2023 | 29,912 KGS/Month |
2/1/2023 | 30,273 KGS/Month |
3/1/2023 | 31,979 KGS/Month |
4/1/2023 | 31,261 KGS/Month |
5/1/2023 | 33,182 KGS/Month |
6/1/2023 | 35,308 KGS/Month |
7/1/2023 | 33,084 KGS/Month |
8/1/2023 | 31,604 KGS/Month |
9/1/2023 | 32,473 KGS/Month |
10/1/2023 | 32,818 KGS/Month |
11/1/2023 | 31,840 KGS/Month |
12/1/2023 | 44,947 KGS/Month |
1/1/2024 | 33,664 KGS/Month |
2/1/2024 | 33,361 KGS/Month |
3/1/2024 | 35,104 KGS/Month |
Wages History
Date | Value |
---|---|
3/1/2024 | 35,104 KGS/Month |
2/1/2024 | 33,361 KGS/Month |
1/1/2024 | 33,664 KGS/Month |
12/1/2023 | 44,947 KGS/Month |
11/1/2023 | 31,840 KGS/Month |
10/1/2023 | 32,818 KGS/Month |
9/1/2023 | 32,473 KGS/Month |
8/1/2023 | 31,604 KGS/Month |
7/1/2023 | 33,084 KGS/Month |
6/1/2023 | 35,308 KGS/Month |
Similar Macro Indicators to Wages
Name | Current | Previous | Frequency |
---|---|---|---|
🇰🇬 Employed persons | 589,948 | 586,001 | Monthly |
🇰🇬 Minimum Wages | 2,460 KGS/Month | 2,337 KGS/Month | Annually |
🇰🇬 Population | 7.04 M | 6.91 M | Annually |
🇰🇬 Unemployed Persons | 61,700 | 65,100 | Monthly |
🇰🇬 Unemployment Rate | 2.2 % | 2.3 % | Monthly |
🇰🇬 Wages in Manufacturing | 50,810 KGS/Month | 54,503 KGS/Month | Monthly |
Macro pages for other countries in Asia
- 🇨🇳China
- 🇮🇳India
- 🇮🇩Indonesia
- 🇯🇵Japan
- 🇸🇦Saudi Arabia
- 🇸🇬Singapore
- 🇰🇷South Korea
- 🇹🇷Turkey
- 🇦🇫Afghanistan
- 🇦🇲Armenia
- 🇦🇿Azerbaijan
- 🇧🇭Bahrain
- 🇧🇩Bangladesh
- 🇧🇹Bhutan
- 🇧🇳Brunei
- 🇰🇭Cambodia
- 🇹🇱East Timor
- 🇬🇪Georgia
- 🇭🇰Hong Kong
- 🇮🇷Iran
- 🇮🇶Iraq
- 🇮🇱Israel
- 🇯🇴Jordan
- 🇰🇿Kazakhstan
- 🇰🇼Kuwait
- 🇱🇦Laos
- 🇱🇧Lebanon
- 🇲🇴Macau
- 🇲🇾Malaysia
- 🇲🇻Maldives
- 🇲🇳Mongolia
- 🇲🇲Myanmar
- 🇳🇵Nepal
- 🇰🇵North Korea
- 🇴🇲Oman
- 🇵🇰Pakistan
- 🇵🇸Palestine
- 🇵🇭Philippines
- 🇶🇦Qatar
- 🇱🇰Sri Lanka
- 🇸🇾Syria
- 🇹🇼Taiwan
- 🇹🇯Tajikistan
- 🇹🇭Thailand
- 🇹🇲Turkmenistan
- 🇦🇪United Arab Emirates
- 🇺🇿Uzbekistan
- 🇻🇳Vietnam
- 🇾🇪Yemen
What is Wages?
Wages represent a fundamental pillar in the study of macroeconomics, serving as a critical indicator of economic health, labor market dynamics, and overall living standards. At Eulerpool, we comprehensively present macroeconomic data, with Wages being a crucial category that offers profound insights into the functioning and stability of economies worldwide. In macroeconomic terms, wages refer to the compensation employees receive for their labor, typically expressed in monetary terms. These compensations are essential not only for the sustenance of individuals and households but also for driving consumer spending, which is a significant component of Gross Domestic Product (GDP). Understanding wage levels and their trends provides profound insights into the economic wellbeing of a nation. Wages are influenced by several factors, including education, experience, skill level, industry, and geographic location. Furthermore, macroeconomic policies, labor market regulations, collective bargaining processes, and global economic conditions also play pivotal roles. These multifaceted influences mean that wages are not just a reflection of individual or company performance but are intricately tied to broader economic phenomena. At the national level, wage trends are crucial indicators of economic vitality. Rising wages often signal growing demand for labor, which can reflect an expanding economy and increased investment. Conversely, stagnating or declining wages may indicate economic distress, high unemployment, or decreased productivity. For policymakers and economists, wage analysis is indispensable for understanding inflation dynamics, as wages significantly impact aggregate demand and price levels. Inflation, often guided by wage adjustments, is a crucial area of focus within macroeconomics. The relationship, commonly referred to as wage-price spiral, posits that increased wages lead to higher consumer spending, driving up demand for goods and services. This increased demand can push up prices, leading to inflation. However, it is not just upward movements that need scrutiny; wage deflation, where wages decrease across the economy, can dampen consumer spending, leading to deflationary pressures, which can be equally perilous. Wage disparity is another critical dimension in the macroeconomic analysis of wages. Economic inequality, often measured by disparities in wage levels, has far-reaching consequences for social cohesion, economic growth, and political stability. High levels of wage inequality can lead to reduced economic mobility and a weakening of middle-class purchasing power, potentially stalling economic growth. On the other hand, more equitable wage distribution can support a more robust and sustainable economic development pathway. Labor market institutions and policies greatly impact wage dynamics. Minimum wage laws, for instance, set the lowest legal hourly pay and aim to ensure a basic standard of living for employees, especially those in low-paying jobs. These laws can have wide-ranging economic impacts, from reducing poverty levels to potentially influencing employment rates. Similarly, collective bargaining agreements, where unions negotiate wages on behalf of workers, can lead to significant wage premiums for unionized employees compared to their non-union counterparts. Globalization and technological advancements are two transformative factors profoundly affecting wage structures. Globalization, with the offshoring of labor-intensive production to lower-wage countries, has reshaped wage landscapes in developed economies, often suppressing wage growth in certain sectors while boosting it in others. Technological advancements, particularly automation and artificial intelligence, present both opportunities and challenges. While these technologies can enhance productivity and create new high-wage job categories, they also risk displacing workers in repetitive and lower-skilled jobs, resulting in wage polarization. Education and skill development are critical to wage dynamics. Higher educational attainment and specialized skills generally correlate with higher wages, reflecting the increased value and productivity of skilled labor. Governments and educational institutions play crucial roles in shaping workforce capabilities through policies and programs that enhance educational access, quality, and relevance to evolving economic needs. Gender and racial wage gaps are additional layers within the macroeconomic wage analysis. Persistent disparities often reflect deep-seated social and economic inequalities. Addressing these gaps requires concerted policy efforts and organizational commitment to equitable pay practices and inclusive labor markets. Wages also intersect significantly with tax policies. Progressive taxation, where higher earnings attract higher tax rates, can help redistribute income and mitigate wage inequality. However, tax policy must balance equity with efficiency to ensure that it does not stifle economic incentives and productivity. In examining wage data at Eulerpool, we provide users with detailed and up-to-date information on wage levels across different economies, sectors, and demographics. Our platform allows for granular analysis, offering invaluable insights for researchers, policymakers, and business leaders. By monitoring and analyzing wage trends, stakeholders can make informed decisions and strategies that align with macroeconomic realities and objectives. In conclusion, wages are a cornerstone of macroeconomic analysis, influencing and reflecting a wide array of economic conditions and trends. At Eulerpool, our dedication to providing accurate and comprehensive wage data empowers users to delve deep into these dynamics, fostering a profound understanding that can drive meaningful economic progress and policy formulation. Understanding wages in their full economic context is vital for anyone engaged in the study or management of economies, as they encapsulate the complex interplay of market forces, policy decisions, and social dynamics.